{
 "metadata": {
  "name": "Single_EPSC_[Jonas1993_cell]"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H1>Single EPSC on Jonas 1993 CA3 cell</H1>\n",
      "\n",
      "This contains the following passive parameters:\n",
      "<ul>\n",
      "    <li>specific membrane capacitance 0.683 $\\mu F/cm^2$</li>\n",
      "    <li>specific membrane resistance 160.000 $\\Omega cm^2$</li>\n",
      "    <li>axial resistance 294 $\\Omega cm$</li>\n",
      "</ul>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from neuron import h\n",
      "from CA3.library import jonas1993\n",
      "matplotlib.rcParams.update({'font.size': 20})\n",
      "print(jonas1993.__doc__)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    Creates a cell object with the following \n",
        "    passive properties homogenously distributed\n",
        "    Cm = 0.683  microF/cm^2\n",
        "    Rm = 164000 Ohms*cm^2 \n",
        "    Ra = 294    Ohms*cm  \n",
        "    just as described in Jonas et al., 1993\n",
        "    \n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mycell = jonas1993()\n",
      "mycell.morphinfo()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "CA3b morphology with\n",
        "168 segments and 1628 sections\n",
        "basal dendrite ds[0] connected to right (1) soma\n",
        "basal dendrite ds[13] connected to right (1) soma\n",
        "basal dendrite ds[32] connected to right (1) soma\n",
        "basal dendrite ds[47] connected to right (1) soma\n",
        "apical dendrite ds[74] connected to left (0) soma\n",
        "apical dendrite ds[106] connected to left (0) soma\n",
        "apical dendrite ds[119] connected to left (0) soma\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Voltage-clamp at the soma</H3>\n",
      "<ul>\n",
      "    <li> holding potential -70 mV </li>\n",
      "    <li> series resistance 0.1 M$\\Omega$ </li>\n",
      "</ul>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "VC_patch = h.SEClamp(0.5, sec=mycell.soma)\n",
      "VC_patch.rs = 0.1\n",
      "VC_patch.amp1 = -70"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Fast AMPAR-like conductance at the soma</H3>\n",
      "needs synapse.mod compiled\n",
      "<ul>\n",
      "    <li> peak conductance  300 pS</li>\n",
      "    <li> tau on  0.2 ms </li>\n",
      "    <li> tau off  2.5 ms </li>\n",
      "</ul>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "mysyn = h.synapse(0.5, sec=mycell.soma) # described in synapse.mod\n",
      "mysyn.tonset = 0\n",
      "mysyn.tau0 = .2\n",
      "mysyn.tau1 = 2.5\n",
      "mysyn.gmax = 300e-6 # in microS in synapse.mod"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Define voltage-clamp simulation</H3>\n",
      "Simulates the current recorded with a patch pipette located at the soma of a voltage-clamped (-70 mV) CA3 cell\n",
      "in response to synaptic stimulation"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def VC_simulation(tstop, synapse, pipette, with_time=False):\n",
      "    \"\"\"\n",
      "    runs the NEURON simulation and returns \n",
      "    current and time as NumPy arrays\n",
      "    Arguments:\n",
      "    tstop     -- duration of simulation\n",
      "    synapse   -- synapse to be stimulated\n",
      "    pipette   -- pipette from where we record\n",
      "    with_time -- if true, return time vector (in ms)\n",
      "\n",
      "\n",
      "    \"\"\"\n",
      "    \n",
      "    # setup simulation\n",
      "    h.load_file('stdrun.hoc')\n",
      "    h.v_init = -70\n",
      "    h.tstop = tstop\n",
      "    \n",
      "    # setup pipette\n",
      "    pipette.dur1 = tstop\n",
      "    \n",
      "    #  define hoc vectors\n",
      "    current = h.Vector()\n",
      "    current.record(pipette._ref_i)\n",
      "    if with_time is True:\n",
      "        time = h.Vector()\n",
      "        time.record(h._ref_t)\n",
      "    \n",
      "    h.run()\n",
      "    \n",
      "    mycurrent = np.array(current)*1000. # in pA\n",
      "\n",
      "    \n",
      "    if with_time is True:\n",
      "        time = np.array(time)\n",
      "        return(time, mycurrent) \n",
      "    else:\n",
      "        return(mycurrent)\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Synapse at the soma</H3>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "time, i_soma = VC_simulation(tstop=25, synapse=mysyn, pipette=VC_patch, with_time=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(time, i_soma, 'r');\n",
      "plt.xlabel('Time (ms)', fontsize=18);\n",
      "plt.ylabel('Current (pA)', fontsize=18);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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1Qq9evdCpUycEBASgQYMGZV4ylclkSE9Px9mzZxEXF4fDhw9j37592LdvH9544w2sX78e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\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Synapse at 120 micrometers from soma</H3>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h.distance(0, 0.5, sec=mycell.soma)\n",
      "print('Synapse is located %f um from the soma'%h.distance(0.5, sec=mycell.ds[8]))\n",
      "mysyn.loc(0.5, sec=mycell.ds[8]) # set synapse at dendrite 8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Synapse is located 120.018850 um from the soma\n"
       ]
      },
      {
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "0.5"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "i_dend = VC_simulation(tstop=25, synapse=mysyn, pipette=VC_patch)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(time, i_dend);\n",
      "plt.plot(time, i_soma, 'r');\n",
      "\n",
      "plt.xlabel('Time (ms)', fontsize=18);\n",
      "plt.ylabel('Current (pA)', fontsize=18);\n",
      "plt.title('EPSCs', fontsize=18);\n",
      "plt.legend(['120 $\\mu$m','Soma']);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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MWbNmqX1vk5KaUWysrktN1BYXBxw+zAPQuXPKe9MdHYFXXwX8/XkA6tCB76slUlKAGzf4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\nECK6/wcrcoeW8Wm8twAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Check segments in mycell.ds[8]\n",
      "for seg in mycell.ds[8]:\n",
      "    print(seg.x)\n",
      "#mysyn.loc(0.1, sec=mycell.ds[8]) # set synapse at dendrite 8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0.1\n",
        "0.3\n",
        "0.5\n",
        "0.7\n",
        "0.9\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# locate the synapse in every segment of mycell.ds[8] section\n",
      "for seg in mycell.ds[8]:\n",
      "    mysyn.loc(seg.x, sec=mycell.ds[8])\n",
      "    i_dend = VC_simulation(tstop=25, synapse=mysyn, pipette=VC_patch)\n",
      "    dist = h.distance(seg.x, sec=mycell.ds[8])\n",
      "    print('location %f, at distance %f has a peak of %f pA'%(seg.x, dist, np.min(i_dend) ))\n",
      "    plt.plot(time, i_dend)\n",
      "    \n",
      "plt.xlabel('Time (ms)');\n",
      "plt.ylabel('Current (pA)');\n",
      "plt.xlim(xmax=6);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "location 0.100000, at distance 101.041050 has a peak of -9.210386 pA\n",
        "location 0.300000, at distance 110.529950 has a peak of -9.076473 pA"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "location 0.500000, at distance 120.018850 has a peak of -8.949427 pA"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "location 0.700000, at distance 129.507750 has a peak of -8.826966 pA"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "location 0.900000, at distance 138.996650 has a peak of -8.708174 pA"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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8a3LCVZmcIITQr2KNCZ05c+a+fYLuTj6nT58mOTn5sZ+jUqlITEzUPgE1atSo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\nZBKSJEmSjEYmIUmSJMlo/h90C5P6hpkz4QAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# check that soma is the origin\n",
      "h.distance(0.5, sec=mycell.soma)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "0.0"
       ]
      }
     ],
     "prompt_number": 22
    }
   ],
   "metadata": {}
  }
 ]
}